Fengyun Rao

Orcid: 0000-0002-2868-2088

According to our database1, Fengyun Rao authored at least 31 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
TempFlow-GRPO: When Timing Matters for GRPO in Flow Models.
CoRR, August, 2025

HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models.
CoRR, July, 2025

WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning.
CoRR, June, 2025

FlexSelect: Flexible Token Selection for Efficient Long Video Understanding.
CoRR, June, 2025

From Trial to Triumph: Advancing Long Video Understanding via Visual Context Sample Scaling and Self-reward Alignment.
CoRR, March, 2025

Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs.
CoRR, March, 2025

R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.
CoRR, March, 2025

PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HarmonySet: A Comprehensive Dataset for Understanding Video-Music Semantic Alignment and Temporal Synchronization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Instruction-augmented Multimodal Alignment for Image-Text and Element Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Number it: Temporal Grounding Videos like Flipping Manga.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Advancing Video Quality Assessment for AIGC.
CoRR, 2024

Revisiting Video Quality Assessment from the Perspective of Generalization.
CoRR, 2024

EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model.
CoRR, 2024

Multi-Modal Generative Embedding Model.
CoRR, 2024

Visual Perception by Large Language Model's Weights.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ReGenNet: Towards Human Action-Reaction Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Inter-X: Towards Versatile Human-Human Interaction Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Task Navigator: Decomposing Complex Tasks for Multimodal Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Spatial-Semantic Collaborative Cropping for User Generated Content.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Image Captioning with Multi-Context Synthetic Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Text-Only Image Captioning with Multi-Context Data Generation.
CoRR, 2023

A Similarity Alignment Model for Video Copy Segment Matching.
CoRR, 2023

A Dual-level Detection Method for Video Copy Detection.
CoRR, 2023

2022
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation.
CoRR, 2021

CLIP4Caption ++: Multi-CLIP for Video Caption.
CoRR, 2021

CLIP4Caption: CLIP for Video Caption.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2019
Multi-Task Multi-Head Attention Memory Network for Fine-Grained Sentiment Analysis.
Proceedings of the Natural Language Processing and Chinese Computing, 2019


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